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Exploring Machine Learning in IoT Smart Home Automation

The Internet of Things (IoT) has evolved in these years. Various types of organizations, industries, research domains and almost all types of intelligent future applications are utilizing the advantages of IoT. These applications include smart homes, smart cities, smart infrastructure smart communit...

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Main Authors: Waseem, Quadri, Wan Isni Sofiah, Wan Din, Azamuddin, Abdul Rahman, Nisar, Kasif
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2023
Subjects:
QA Mathematics
QA76 Computer software
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/38886/1/Exploring_Machine_Learning_in_IoT_Smart_Home_Automation.pdf
http://umpir.ump.edu.my/id/eprint/38886/2/2Abstact%20from%20Article2.docx
http://umpir.ump.edu.my/id/eprint/38886/
https://doi.org/10.1109/ICSECS58457.2023.10256283
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spelling my.ump.umpir.388862023-10-18T07:36:12Z http://umpir.ump.edu.my/id/eprint/38886/ Exploring Machine Learning in IoT Smart Home Automation Waseem, Quadri Wan Isni Sofiah, Wan Din Azamuddin, Abdul Rahman Nisar, Kasif QA Mathematics QA76 Computer software T Technology (General) The Internet of Things (IoT) has evolved in these years. Various types of organizations, industries, research domains and almost all types of intelligent future applications are utilizing the advantages of IoT. These applications include smart homes, smart cities, smart infrastructure smart communities, smart healthcare, smart agriculture and many more. “Smart Homes” has emerged as one the latest Internet of Things (IoT) applications known to automate household equipment's using remote or automated functioning from remote locations to improve the quality of life for its inhabitants. For a smart home system to function effectively, the machine learning (ML) implementation must go beyond basic remote control and simple automation. To fully realize its potential and provide homeowners with tremendous and unexpected benefits, more research and development in the fields of machine intelligence and smart home automation are required. In this research work, we aim to traverse ML in IoT smart home automation by classifying the home automation applications. We propose a taxonomy of machine learning (ML) for smart homes based on its application. This research also includes related surveys and literature reviews along with open challenges and issues as well as future directions in detail. IEEE 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/38886/1/Exploring_Machine_Learning_in_IoT_Smart_Home_Automation.pdf pdf en http://umpir.ump.edu.my/id/eprint/38886/2/2Abstact%20from%20Article2.docx Waseem, Quadri and Wan Isni Sofiah, Wan Din and Azamuddin, Abdul Rahman and Nisar, Kasif (2023) Exploring Machine Learning in IoT Smart Home Automation. In: 2023 IEEE 8th International Conference On Software Engineering and Computer Systems (ICSECS), 25-27 Aug. 2023 , Penang, Malaysia. pp. 1-6.. ISBN 979-8-3503-1093-1 https://doi.org/10.1109/ICSECS58457.2023.10256283
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic QA Mathematics
QA76 Computer software
T Technology (General)
spellingShingle QA Mathematics
QA76 Computer software
T Technology (General)
Waseem, Quadri
Wan Isni Sofiah, Wan Din
Azamuddin, Abdul Rahman
Nisar, Kasif
Exploring Machine Learning in IoT Smart Home Automation
description The Internet of Things (IoT) has evolved in these years. Various types of organizations, industries, research domains and almost all types of intelligent future applications are utilizing the advantages of IoT. These applications include smart homes, smart cities, smart infrastructure smart communities, smart healthcare, smart agriculture and many more. “Smart Homes” has emerged as one the latest Internet of Things (IoT) applications known to automate household equipment's using remote or automated functioning from remote locations to improve the quality of life for its inhabitants. For a smart home system to function effectively, the machine learning (ML) implementation must go beyond basic remote control and simple automation. To fully realize its potential and provide homeowners with tremendous and unexpected benefits, more research and development in the fields of machine intelligence and smart home automation are required. In this research work, we aim to traverse ML in IoT smart home automation by classifying the home automation applications. We propose a taxonomy of machine learning (ML) for smart homes based on its application. This research also includes related surveys and literature reviews along with open challenges and issues as well as future directions in detail.
format Conference or Workshop Item
author Waseem, Quadri
Wan Isni Sofiah, Wan Din
Azamuddin, Abdul Rahman
Nisar, Kasif
author_facet Waseem, Quadri
Wan Isni Sofiah, Wan Din
Azamuddin, Abdul Rahman
Nisar, Kasif
author_sort Waseem, Quadri
title Exploring Machine Learning in IoT Smart Home Automation
title_short Exploring Machine Learning in IoT Smart Home Automation
title_full Exploring Machine Learning in IoT Smart Home Automation
title_fullStr Exploring Machine Learning in IoT Smart Home Automation
title_full_unstemmed Exploring Machine Learning in IoT Smart Home Automation
title_sort exploring machine learning in iot smart home automation
publisher IEEE
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/38886/1/Exploring_Machine_Learning_in_IoT_Smart_Home_Automation.pdf
http://umpir.ump.edu.my/id/eprint/38886/2/2Abstact%20from%20Article2.docx
http://umpir.ump.edu.my/id/eprint/38886/
https://doi.org/10.1109/ICSECS58457.2023.10256283
_version_ 1822923774515740672
score 13.235362

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